Both being sub-parts of probability sampling, Random sampling differs in the sense as the sample is chosen out of a whole population randomly. whereas cluster sampling is extracted from a population already been selected by the same organization. eg. out of a whole population an area is selected by the management, which is the cluster, and is handed over to you to perform the tests necessary. Stratified sampling on the other hand is extracted according to the the categories the selected sample belongs to. These sectors selected might be on the basis of their nature of work, dealings etc. eg. industrial, commercial, residential and so on.
Convenience sampling or quota sampling
What is the difference between quota sampling and cluster sampling
Quota sampling.
They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
judgemental is Pudi lan
Convenience sampling or quota sampling.
Quota sampling is a non-probability sampling technique where there is selection of a fixed number or quota of people to study. It is a sampling method of gathering representative data from a particular group.
The main difference between the quota and stratified sampling is that in the stratified sampling the researcher can not select the individuals to be included in the sample (he doesn't have control over who will be in the simple), but in the quota sampling the researcher has control over who will be in the sample (he can contact certain people and include them in the sample).
1) Simple random sampling 2) Systematic sampling 3) Stratified sampling 4) Cluster sampling 5) Probability proportional to size sampling 6) Matched random sampling 7) Quota sampling 8) Convenience sampling 9) Line-intercept sampling 10) Panel sampling
Answer is Quota sampling. Its one of the method of non-probability sampling.
cluster sampling, quota sampling, systematic sampling, stratified random sampling which one is correct?
The related web sites give a good idea of the types of non-random sampling. These include snowball, convenience, quota, self-selection, diversity, expert, and others. Non-randon sampling is usually done because it is less expensive, easier, and quicker than random sampling.